Characterization of ex vivo glioma samples from fluorescence-guided surgery using multimodal optical coherence microscopy-based radiomic features

Johanna Gesperger; Karl-Heinz Nenning; Conrad W. Merkle; Antonia Lichtenegger; Pablo Eugui; Thomas Roetzer; Barbara Kiesel; Petra A. Mercea; Alexandra Lang; Georg Langs; Georg Widhalm; Bernhard Baumann; Adelheid Wöhrer

doi:10.1117/12.2609514

28 April 2022 Characterization of ex vivo glioma samples from fluorescence-guided surgery using multimodal optical coherence microscopy-based radiomic features

Johanna Gesperger, Karl-Heinz Nenning, Conrad W. Merkle, Antonia Lichtenegger, Pablo Eugui, Thomas Roetzer, Barbara Kiesel, Petra A. Mercea, Alexandra Lang, Georg Langs, Georg Widhalm, Bernhard Baumann, Adelheid Wöhrer

Author Affiliations +

Proceedings Volume PC11946, Neural Imaging and Sensing 2022; PC119460X (2022) https://doi.org/10.1117/12.2609514
Event: SPIE BiOS, 2022, San Francisco, California, United States

Conference Poster

Abstract

The fluorescent tracer 5-aminolevulinc acid was introduced to visualize brain tumors intraoperatively, but suffers from drawbacks such as limited sensitivity for certain tumor types. Optical coherence tomography (OCT) is a non-invasive imaging modality, which has recently found its application in neuroscience by contributing label-free tissue information. We present one of the first radiomics-based analyses to capture the form and texture of glioma samples resected during fluorescence-guided surgery in a large cohort of multimodal OCT-based microscopy (OCM) imaging data. Concluding, we report encouraging results for the prediction of tumor infiltration, entity and molecular biomarkers with accuracies as high as 96%.

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Johanna Gesperger, Karl-Heinz Nenning, Conrad W. Merkle, Antonia Lichtenegger, Pablo Eugui, Thomas Roetzer, Barbara Kiesel, Petra A. Mercea, Alexandra Lang, Georg Langs, Georg Widhalm, Bernhard Baumann, and Adelheid Wöhrer "Characterization of ex vivo glioma samples from fluorescence-guided surgery using multimodal optical coherence microscopy-based radiomic features", Proc. SPIE PC11946, Neural Imaging and Sensing 2022, PC119460X (28 April 2022); https://doi.org/10.1117/12.2609514

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